Ordinal and multinomial are finished and seem to work.  The core GEE code
doesn't know anything about ordinal and multinomial, they are pre-processed
into binary and GEE just sees them as binary data.  But there are special
working correlation matrices that are needed for ordinal/multinomial.
 Right now I have only implemented one, the global odds ratio idea of
Lumley.




On Mon, Sep 30, 2013 at 3:54 PM, Josef Perktold <notifications@github.com>wrote:

> In statsmodels/genmod/generalized_estimating_equations.py:
>
> > +        smry.add_table_2cols(self, gleft=top_left, gright=top_right,
> > +                             yname=self.model.endog_names,
> > +                             xname=xname, title=title)
> > +        smry.add_table_params(self, yname=yname,
> > +                              xname=self.model.exog_names,
> > +                              alpha=alpha, use_t=False)
> > +
> > +        smry.add_table_2cols(self, gleft=diagn_left,
> > +                             gright=diagn_right, yname=yname,
> > +                             xname=xname, title="")
> > +
> > +        return smry
> > +
> > +
> > +
> > +
>
> Is the next part finished Ordinal and Multinomial?
> missing test coverage IIRC
> does it use the GEE class for fitting?
>
> Does the ordinal currently take cutoffs as fixed?
>
> I'm skipping this until I can try it out to see how it works.
>
> —
> Reply to this email directly or view it on GitHub<https://github.com/statsmodels/statsmodels/pull/928/files#r6668990>
> .
>